Results 11 to 20 of about 2,502,977 (224)

Incorporating user search behaviour into relevance feedback [PDF]

open access: yes, 2003
In this paper we present five user experiments on incorporating behavioural information into the relevance feedback process. In particular we concentrate on ranking terms for query expansion and selecting new terms to add to the user's query.
van Rijsbergen, C.J.   +6 more
core   +5 more sources

A survey on the use of relevance feedback for information access systems [PDF]

open access: yes, 2003
Users of online search engines often find it difficult to express their need for information in the form of a query. However, if the user can identify examples of the kind of documents they require then they can employ a technique known as relevance ...
Ruthven, Ian, Lalmas, Mounia
core   +4 more sources

Patent query reduction using pseudo relevance feedback [PDF]

open access: yes, 2011
Queries in patent prior art search, being full patent applications, are very much longer than standard ad hoc search and web search topics. Standard information retrieval (IR) techniques are not entirely effective for patent prior art search because of ...
Magdy, Walid   +7 more
core   +3 more sources

Query expansion for language modeling using sentence similarities [PDF]

open access: yes, 2011
We propose a novel method of query expansion for Language Modeling (LM) in Information Retrieval (IR) based on the similarity of the query with sentences in the top ranked documents from an initial retrieval run.
Ganguly, Debasis   +5 more
core   +2 more sources

Query dependent pseudo-relevance feedback based on wikipedia [PDF]

open access: yes, 2009
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many information retrieval (IR) tasks. In most existing work, the top-ranked documents from an initial search are assumed to be relevant and used for PRF.
Xu, Yang   +5 more
core   +2 more sources

A Study of Word Bigrams for Pseudo-relevance Feedback in Information Retrieval [PDF]

open access: yesJournal of Universal Computer Science
Traditional information retrieval models mostly adopt a term independence assumption and are based on single terms or unigrams. Past efforts have attempted to go beyond this assumption, such as by using contiguous terms (i.e.
Edward Kai Fung Dang   +2 more
doaj   +3 more sources

Retrieval through explanation : an abductive inference approach to relevance feedback [PDF]

open access: yes, 1999
Relevance feedback techniques are designed to automatically improve a system's representation of a query by using documents the user has marked as relevant.
van Rijsbergen, C.J.   +2 more
core   +4 more sources

A user profiles acquiring approach using pseudo-relevance feedback [PDF]

open access: yes, 2009
User profiles are important in personalized Web information gathering and recommendation systems. The current user profiles acquiring techniques however suffer from some problems and thus demand to improve.
Yuefeng Li   +4 more
core   +1 more source

The use of implicit evidence for relevance feedback in web retrieval [PDF]

open access: yes, 2002
In this paper we report on the application of two contrasting types of relevance feedback for web retrieval. We compare two systems; one using explicit relevance feedback (where searchers explicitly have to mark documents relevant) and one using implicit
Ruthven, Ian   +2 more
core   +4 more sources

Improving Pseudo-Relevance Feedback With Neural Network-Based Word Representations

open access: yesIEEE Access, 2018
In information retrieval, query expansion methods, such as pseudo-relevance feedback, are designed to enrich users' queries with relevant terms for comprehensively interpreting the desired information.
Bo Xu   +4 more
doaj   +1 more source

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